This document summarizes Hawaiian Airlines' network planning and pricing strategies. It discusses how Hawaiian has expanded its network in recent years, especially in international markets like Tokyo, Seoul, and Sydney. Hawaiian derives a substantial portion of its revenue from international services. The document also covers Hawaiian's strategies for its North America, neighbor island, and international routes. It emphasizes Hawaiian's role as a destination carrier and diversification of origin markets.
2012 Investor Day - Planning and Revenue ManagementAndrew Watterson
The document discusses Hawaiian Airlines' network expansion plans through 2012-2013. It announces new routes from Seattle, Portland, Sacramento, Oakland, San Francisco, San Jose, Las Vegas, Los Angeles, Phoenix, San Diego, Honolulu, Maui, Lihue, Manila, Pago Pago, Sydney, Auckland, Tokyo, Osaka, Seoul, Fukuoka, Taipei, Brisbane, and New York to various domestic and international locations. It explains that the expanded network broadens their reach, deepens connections, and increases potential demand sources.
An efficient method of solving lexicographic linear goal programming problemAlexander Decker
This document summarizes a new algorithm for solving lexicographic linear goal programming problems. It begins by introducing lexicographic (preemptive) linear goal programming and its general algebraic representation. It then describes the new algorithm, which utilizes an initial table and considers goal constraints as both the objective function and constraints. The algorithm sequentially solves the prioritized deviational variables from the highest to lowest priority level. It initially excludes deviational variable columns not in the basis table but develops them when necessary. The algorithm proceeds through feasibility and optimality testing before selecting an entering variable to maintain the priority structure, ultimately reaching an optimal solution.
Predictive analytics for personalized healthcareJohn Cai
This document discusses how predictive analytics can help enable personalized health care through three main points:
1) Integrating diverse data sources like genomics, healthcare records, and insurance claims can provide insights for personalized care, drug development, and comparative effectiveness research.
2) Predictive models built using data from clinical trials can identify subgroups of patients most likely to respond or not respond to treatments early in the treatment course, improving outcomes.
3) Personalized comparative effectiveness research aims to determine which treatments work best for which patient subgroups and disease stages by integrating real-world data and predictive analytics into drug development and clinical decision-making.
Prasad Narasimhan discusses various applications of predictive analytics across different domains including business, marketing, operations, collections, customer segmentation, telecom, sports, social media, and insurance. Predictive analytics uses statistical techniques to analyze current and historical data to predict future events or outcomes. It has various uses such as predicting customer churn, credit risk, response to marketing campaigns, fraud detection, and more. The document provides examples of how predictive analytics is applied in areas like customer retention, cross-sell, collections, credit risk management, and churn prediction in telecom.
The Use of Predictive Analytics in Health Carejetweedy
This document discusses the use of predictive analytics in healthcare. It describes how predictive analytics uses data and statistics to analyze massive amounts of patient information to predict outcomes. This can help with readmissions, triage, emergency care, detecting patient decompensation, and adverse events. Challenges to implementing predictive analytics in healthcare electronically include testing models, oversight, data quality, and ensuring interoperability between systems. When done correctly, predictive analytics has the potential to improve patient health and lower healthcare costs.
This document defines key concepts in multi-criteria decision making (MCDM) including criteria, alternatives, and decisions. It provides examples of single-criterion and multiple-criteria decision problems. For multiple-criteria problems, alternatives differ in more than one criterion and criteria are often competing. Formal MCDM analysis is useful when criteria are competing and trade-offs are difficult to evaluate. The document discusses types of MCDM problems and contexts for MCDM including mutually exclusive alternatives, portfolio selection, design, and measurement.
2012 Investor Day - Planning and Revenue ManagementAndrew Watterson
The document discusses Hawaiian Airlines' network expansion plans through 2012-2013. It announces new routes from Seattle, Portland, Sacramento, Oakland, San Francisco, San Jose, Las Vegas, Los Angeles, Phoenix, San Diego, Honolulu, Maui, Lihue, Manila, Pago Pago, Sydney, Auckland, Tokyo, Osaka, Seoul, Fukuoka, Taipei, Brisbane, and New York to various domestic and international locations. It explains that the expanded network broadens their reach, deepens connections, and increases potential demand sources.
An efficient method of solving lexicographic linear goal programming problemAlexander Decker
This document summarizes a new algorithm for solving lexicographic linear goal programming problems. It begins by introducing lexicographic (preemptive) linear goal programming and its general algebraic representation. It then describes the new algorithm, which utilizes an initial table and considers goal constraints as both the objective function and constraints. The algorithm sequentially solves the prioritized deviational variables from the highest to lowest priority level. It initially excludes deviational variable columns not in the basis table but develops them when necessary. The algorithm proceeds through feasibility and optimality testing before selecting an entering variable to maintain the priority structure, ultimately reaching an optimal solution.
Predictive analytics for personalized healthcareJohn Cai
This document discusses how predictive analytics can help enable personalized health care through three main points:
1) Integrating diverse data sources like genomics, healthcare records, and insurance claims can provide insights for personalized care, drug development, and comparative effectiveness research.
2) Predictive models built using data from clinical trials can identify subgroups of patients most likely to respond or not respond to treatments early in the treatment course, improving outcomes.
3) Personalized comparative effectiveness research aims to determine which treatments work best for which patient subgroups and disease stages by integrating real-world data and predictive analytics into drug development and clinical decision-making.
Prasad Narasimhan discusses various applications of predictive analytics across different domains including business, marketing, operations, collections, customer segmentation, telecom, sports, social media, and insurance. Predictive analytics uses statistical techniques to analyze current and historical data to predict future events or outcomes. It has various uses such as predicting customer churn, credit risk, response to marketing campaigns, fraud detection, and more. The document provides examples of how predictive analytics is applied in areas like customer retention, cross-sell, collections, credit risk management, and churn prediction in telecom.
The Use of Predictive Analytics in Health Carejetweedy
This document discusses the use of predictive analytics in healthcare. It describes how predictive analytics uses data and statistics to analyze massive amounts of patient information to predict outcomes. This can help with readmissions, triage, emergency care, detecting patient decompensation, and adverse events. Challenges to implementing predictive analytics in healthcare electronically include testing models, oversight, data quality, and ensuring interoperability between systems. When done correctly, predictive analytics has the potential to improve patient health and lower healthcare costs.
This document defines key concepts in multi-criteria decision making (MCDM) including criteria, alternatives, and decisions. It provides examples of single-criterion and multiple-criteria decision problems. For multiple-criteria problems, alternatives differ in more than one criterion and criteria are often competing. Formal MCDM analysis is useful when criteria are competing and trade-offs are difficult to evaluate. The document discusses types of MCDM problems and contexts for MCDM including mutually exclusive alternatives, portfolio selection, design, and measurement.
beyond linear programming: mathematical programming extensionsAngelica Angelo Ocon
This document discusses integer programming and binary integer programming. Integer programming involves decision variables that must take on integer values. Binary integer programming uses binary variables that can only be 0 or 1. Examples show how to formulate integer programming models using binary variables to represent yes/no decisions and constraints. The key aspects of integer programming are ensuring decision variables are integers and that the optimal solution is also integer.
The document describes linear programming and transportation problems. It provides an example of using linear programming to optimize production at a company making hockey sticks and chess sets given machine capacity constraints. It then describes how transportation problems can be formulated as a special case of linear programming to minimize shipping costs given supply, demand, and per-unit shipping costs. The document includes a numerical example of solving a transportation problem to allocate supply across multiple destinations to meet demand at lowest cost.
The document discusses integer programming problems (IPP), which are a special case of linear programming problems (LPP) where some or all variables must take integer values rather than fractional values. It introduces different types of IPP and provides examples of standard forms and algorithms to solve them, including Gomory's cutting plane method and algorithm for pure and mixed integer programming. Applications mentioned include product planning, telecommunication networks, cellular networks, capital budgeting, and the traveling salesman problem.
The document discusses goal programming, which is used to solve linear programs with multiple objectives viewed as goals. It describes goal programming as attempting to reach a satisfactory level of multiple objectives by minimizing deviations between goals and what can actually be achieved given constraints. An example problem involves a hardware company with goals of achieving a $30 profit, fully utilizing wiring hours, avoiding assembly overtime, and producing at least 7 ceiling fans. The goal programming model for this problem is formulated and graphically solved to satisfy the higher priority goals as closely as possible before lower goals.
The document describes the Analytic Hierarchy Process (AHP), which is a structured technique for organizing and analyzing complex decisions. AHP involves constructing a hierarchy of criteria and alternatives, then making pairwise comparisons between elements to determine their relative importance. These comparisons are used to calculate weights for criteria and priorities for alternatives. The document provides an example of using AHP to select a car based on style, reliability, and fuel economy criteria. It also outlines the steps to determine criteria weights, alternative priorities, and consistency ratios in AHP.
The document describes the Analytic Hierarchy Process (AHP), a technique for structuring complex decisions. It involves breaking the decision down into a hierarchy, then using pairwise comparisons to determine the relative importance of criteria and alternatives. The example provided illustrates Judy Grim using AHP to choose a new computer system. She identifies hardware, software, and vendor support as criteria. Alternatives are three computer systems. Pairwise comparisons assign weights to criteria and ratings to alternatives on each criterion. The highest rated alternative is selected.
This document discusses using predictive analytics for retail businesses. It outlines using store clustering and RFM (recency, frequency, monetary) analysis to develop predictive models. Store clusters would be used to design customized planograms and segmentation strategies. RFM would analyze active and expired customers to develop targeted strategies like offering discounts or new products to high value customers or win back lower value, expired customers. The overall goal is to use predictive models to improve planogram performance, customer retention and reactivation, and sales.
Operational research (OR) uses analytical techniques to improve decision-making and efficiency. It encompasses problem-solving methods applied to optimize performance. OR analyzes systems through mathematical modeling, simulation, and other techniques. It aims to make the best use of resources by carefully planning and analyzing processes. Examples of OR applications include scheduling, facility planning, forecasting, yield management, and defense logistics. The field originated from military planning in World War II and has since expanded to business, industry, and public policy problems.
The document provides an outline of topics related to linear programming, including:
1) An introduction to linear programming models and examples of problems that can be solved using linear programming.
2) Developing linear programming models by determining objectives, constraints, and decision variables.
3) Graphical and simplex methods for solving linear programming problems.
4) Using a simplex tableau to iteratively solve a sample product mix problem to find the optimal solution.
This presentation is trying to explain the Linear Programming in operations research. There is a software called "Gipels" available on the internet which easily solves the LPP Problems along with the transportation problems. This presentation is co-developed with Sankeerth P & Aakansha Bajpai.
By:-
Aniruddh Tiwari
Linkedin :- http://in.linkedin.com/in/aniruddhtiwari
This document discusses how banks are using customer data and analytics to better understand customer behavior and needs. It provides examples of how several large banks, such as Wells Fargo, Fifth Third Bank, and HBOS, are using predictive analytics to identify cross-sell opportunities, predict customer churn, and tailor product and service offerings. The document also discusses vendors that provide solutions to help banks better analyze customer data from various sources and gain insights into customer preferences to improve marketing campaigns and reduce attrition.
Business Analytics and Optimization Introduction (part 2)Raul Chong
Technical introduction to Business Analytics and optimization. This is part 2. Part 1 can be found here: http://www.slideshare.net/rfchong/business-analytics-and-optimization-introduction
Predictive Analytics in Retail - Visual Infographic Reportc24ltd
A visual infographic report about Predictive Analytics in Retail, based on our whitepaper "Predictive Analytics in Retail" (link: https://blog.c24.co.uk/2016/08/17/c24-publishes-new-predictive-analytics-whitepaper/).
We explore the ways in which Predictive Analytics is set to change how retailers make use of big data, analytics and insights across their customers, supply chain and stores.
Cenacle Research is engaged in building Predictive Analytics Engines for Automotive, Healthcare, Retail, Energy and BFSI sector. This presentation details how our Big data Analytics platform can help retail businesses in a brief manner.
Big Data offers: Actionable Insights that let you make Informed Decisions, with the capability to:
+ Gain Insight
+ Take Proactive action
+ Reduce waste
+ Plan better strategy
To know more, write to us at: http://cenacle.co.in/
Linear programming - Model formulation, Graphical MethodJoseph Konnully
The document discusses linear programming, including an overview of the topic, model formulation, graphical solutions, and irregular problem types. It provides examples to demonstrate how to set up linear programming models for maximization and minimization problems, interpret feasible and optimal solution regions graphically, and address multiple optimal solutions, infeasible solutions, and unbounded solutions. The examples aid in understanding the key steps and components of linear programming models.
Business Analytics and Optimization IntroductionRaul Chong
The document provides an overview of business analytics and optimization. It discusses how analytics has evolved from descriptive analytics which examines past events to predictive analytics which forecasts future events and prescriptive analytics which recommends decisions. It also outlines IBM's business analytics portfolio and capabilities in areas like predictive modeling, optimization, and decision management. Finally, it discusses applications of analytics in various industries and functions like marketing, supply chain, finance, and operations.
The document provides a financial review of the U.S. airline industry for 2013 and forecasts air travel for the Thanksgiving period. Key points include:
1) Jet fuel prices were down from 2012 highs but volatile in the second half of 2013, and small increases would have eliminated airline profits.
2) Lower fuel costs and higher air travel demand helped airlines improve margins in 2013 compared to 2012, though profits remained low.
3) The document forecasts 25.1 million passengers will travel during the Thanksgiving period, a 1.5% increase from 2012, with the busiest days being the Sunday return and Wednesday before Thanksgiving.
This document provides Hawaiian Airlines flight schedule information between various cities in California, Hawaii, and Los Angeles. It lists daily nonstop flights from Oakland, San Francisco, San Jose, and Los Angeles to Honolulu and Kahului on Maui, as well as seasonal service to Kona and Lihue on the Big Island and Kauai. A 5% discount is offered on roundtrip web fares for LinkedIn employees traveling to Hawaii.
Airline Mergers, Competition and Impact: 2005-2013Joshua Marks
A comprehensive review of the U.S. aviation industry market and seat share in 2013, merger and consolidation history from 2005 to 2013, and competitive dynamics in the post-consolidation airline market. Specific focus on the US Airways - America West deal, followed by Delta-Northwest, United-Continental, Southwest-AirTran and US Airways-American. The presentation captures the highest revenue O&D routes for each consolidated airline as well as the impact of shifting alliance shares in the U.S. and intercontinental markets. As presented to
- Over the last 10 years, Ontario Airport in the LA Basin lost the most passengers (-28.8%) and air service of all regional airports as its number of domestic destinations dropped by 18 and daily departures decreased by 47%.
- LAX has increased its market share of passengers in the region from 69.7% in 2003 to a projected 74.1% in 2011 while Ontario's passenger levels have fallen to their lowest point since 1987, losing all growth over the past 24 years.
- The FAA forecasts that over the next 20 years, most new air traffic growth in the region will concentrate at LAX, which is projected to grow by over 50 million passengers and increase its market share by another 5
Dominican Republic: Passenger Trends, Airports and Airlines vaughn cordle
Passenger trends for the top 7 airports. Information includes airline and airport market share from the late 90s, in addition to country GDP growth rates and estimates
beyond linear programming: mathematical programming extensionsAngelica Angelo Ocon
This document discusses integer programming and binary integer programming. Integer programming involves decision variables that must take on integer values. Binary integer programming uses binary variables that can only be 0 or 1. Examples show how to formulate integer programming models using binary variables to represent yes/no decisions and constraints. The key aspects of integer programming are ensuring decision variables are integers and that the optimal solution is also integer.
The document describes linear programming and transportation problems. It provides an example of using linear programming to optimize production at a company making hockey sticks and chess sets given machine capacity constraints. It then describes how transportation problems can be formulated as a special case of linear programming to minimize shipping costs given supply, demand, and per-unit shipping costs. The document includes a numerical example of solving a transportation problem to allocate supply across multiple destinations to meet demand at lowest cost.
The document discusses integer programming problems (IPP), which are a special case of linear programming problems (LPP) where some or all variables must take integer values rather than fractional values. It introduces different types of IPP and provides examples of standard forms and algorithms to solve them, including Gomory's cutting plane method and algorithm for pure and mixed integer programming. Applications mentioned include product planning, telecommunication networks, cellular networks, capital budgeting, and the traveling salesman problem.
The document discusses goal programming, which is used to solve linear programs with multiple objectives viewed as goals. It describes goal programming as attempting to reach a satisfactory level of multiple objectives by minimizing deviations between goals and what can actually be achieved given constraints. An example problem involves a hardware company with goals of achieving a $30 profit, fully utilizing wiring hours, avoiding assembly overtime, and producing at least 7 ceiling fans. The goal programming model for this problem is formulated and graphically solved to satisfy the higher priority goals as closely as possible before lower goals.
The document describes the Analytic Hierarchy Process (AHP), which is a structured technique for organizing and analyzing complex decisions. AHP involves constructing a hierarchy of criteria and alternatives, then making pairwise comparisons between elements to determine their relative importance. These comparisons are used to calculate weights for criteria and priorities for alternatives. The document provides an example of using AHP to select a car based on style, reliability, and fuel economy criteria. It also outlines the steps to determine criteria weights, alternative priorities, and consistency ratios in AHP.
The document describes the Analytic Hierarchy Process (AHP), a technique for structuring complex decisions. It involves breaking the decision down into a hierarchy, then using pairwise comparisons to determine the relative importance of criteria and alternatives. The example provided illustrates Judy Grim using AHP to choose a new computer system. She identifies hardware, software, and vendor support as criteria. Alternatives are three computer systems. Pairwise comparisons assign weights to criteria and ratings to alternatives on each criterion. The highest rated alternative is selected.
This document discusses using predictive analytics for retail businesses. It outlines using store clustering and RFM (recency, frequency, monetary) analysis to develop predictive models. Store clusters would be used to design customized planograms and segmentation strategies. RFM would analyze active and expired customers to develop targeted strategies like offering discounts or new products to high value customers or win back lower value, expired customers. The overall goal is to use predictive models to improve planogram performance, customer retention and reactivation, and sales.
Operational research (OR) uses analytical techniques to improve decision-making and efficiency. It encompasses problem-solving methods applied to optimize performance. OR analyzes systems through mathematical modeling, simulation, and other techniques. It aims to make the best use of resources by carefully planning and analyzing processes. Examples of OR applications include scheduling, facility planning, forecasting, yield management, and defense logistics. The field originated from military planning in World War II and has since expanded to business, industry, and public policy problems.
The document provides an outline of topics related to linear programming, including:
1) An introduction to linear programming models and examples of problems that can be solved using linear programming.
2) Developing linear programming models by determining objectives, constraints, and decision variables.
3) Graphical and simplex methods for solving linear programming problems.
4) Using a simplex tableau to iteratively solve a sample product mix problem to find the optimal solution.
This presentation is trying to explain the Linear Programming in operations research. There is a software called "Gipels" available on the internet which easily solves the LPP Problems along with the transportation problems. This presentation is co-developed with Sankeerth P & Aakansha Bajpai.
By:-
Aniruddh Tiwari
Linkedin :- http://in.linkedin.com/in/aniruddhtiwari
This document discusses how banks are using customer data and analytics to better understand customer behavior and needs. It provides examples of how several large banks, such as Wells Fargo, Fifth Third Bank, and HBOS, are using predictive analytics to identify cross-sell opportunities, predict customer churn, and tailor product and service offerings. The document also discusses vendors that provide solutions to help banks better analyze customer data from various sources and gain insights into customer preferences to improve marketing campaigns and reduce attrition.
Business Analytics and Optimization Introduction (part 2)Raul Chong
Technical introduction to Business Analytics and optimization. This is part 2. Part 1 can be found here: http://www.slideshare.net/rfchong/business-analytics-and-optimization-introduction
Predictive Analytics in Retail - Visual Infographic Reportc24ltd
A visual infographic report about Predictive Analytics in Retail, based on our whitepaper "Predictive Analytics in Retail" (link: https://blog.c24.co.uk/2016/08/17/c24-publishes-new-predictive-analytics-whitepaper/).
We explore the ways in which Predictive Analytics is set to change how retailers make use of big data, analytics and insights across their customers, supply chain and stores.
Cenacle Research is engaged in building Predictive Analytics Engines for Automotive, Healthcare, Retail, Energy and BFSI sector. This presentation details how our Big data Analytics platform can help retail businesses in a brief manner.
Big Data offers: Actionable Insights that let you make Informed Decisions, with the capability to:
+ Gain Insight
+ Take Proactive action
+ Reduce waste
+ Plan better strategy
To know more, write to us at: http://cenacle.co.in/
Linear programming - Model formulation, Graphical MethodJoseph Konnully
The document discusses linear programming, including an overview of the topic, model formulation, graphical solutions, and irregular problem types. It provides examples to demonstrate how to set up linear programming models for maximization and minimization problems, interpret feasible and optimal solution regions graphically, and address multiple optimal solutions, infeasible solutions, and unbounded solutions. The examples aid in understanding the key steps and components of linear programming models.
Business Analytics and Optimization IntroductionRaul Chong
The document provides an overview of business analytics and optimization. It discusses how analytics has evolved from descriptive analytics which examines past events to predictive analytics which forecasts future events and prescriptive analytics which recommends decisions. It also outlines IBM's business analytics portfolio and capabilities in areas like predictive modeling, optimization, and decision management. Finally, it discusses applications of analytics in various industries and functions like marketing, supply chain, finance, and operations.
The document provides a financial review of the U.S. airline industry for 2013 and forecasts air travel for the Thanksgiving period. Key points include:
1) Jet fuel prices were down from 2012 highs but volatile in the second half of 2013, and small increases would have eliminated airline profits.
2) Lower fuel costs and higher air travel demand helped airlines improve margins in 2013 compared to 2012, though profits remained low.
3) The document forecasts 25.1 million passengers will travel during the Thanksgiving period, a 1.5% increase from 2012, with the busiest days being the Sunday return and Wednesday before Thanksgiving.
This document provides Hawaiian Airlines flight schedule information between various cities in California, Hawaii, and Los Angeles. It lists daily nonstop flights from Oakland, San Francisco, San Jose, and Los Angeles to Honolulu and Kahului on Maui, as well as seasonal service to Kona and Lihue on the Big Island and Kauai. A 5% discount is offered on roundtrip web fares for LinkedIn employees traveling to Hawaii.
Airline Mergers, Competition and Impact: 2005-2013Joshua Marks
A comprehensive review of the U.S. aviation industry market and seat share in 2013, merger and consolidation history from 2005 to 2013, and competitive dynamics in the post-consolidation airline market. Specific focus on the US Airways - America West deal, followed by Delta-Northwest, United-Continental, Southwest-AirTran and US Airways-American. The presentation captures the highest revenue O&D routes for each consolidated airline as well as the impact of shifting alliance shares in the U.S. and intercontinental markets. As presented to
- Over the last 10 years, Ontario Airport in the LA Basin lost the most passengers (-28.8%) and air service of all regional airports as its number of domestic destinations dropped by 18 and daily departures decreased by 47%.
- LAX has increased its market share of passengers in the region from 69.7% in 2003 to a projected 74.1% in 2011 while Ontario's passenger levels have fallen to their lowest point since 1987, losing all growth over the past 24 years.
- The FAA forecasts that over the next 20 years, most new air traffic growth in the region will concentrate at LAX, which is projected to grow by over 50 million passengers and increase its market share by another 5
Dominican Republic: Passenger Trends, Airports and Airlines vaughn cordle
Passenger trends for the top 7 airports. Information includes airline and airport market share from the late 90s, in addition to country GDP growth rates and estimates
Joel Tkach, Tourism Educators Conference 2013LinkBC
Joel Tkach's forthright presentation on the state of Canada's aviation industry, perspectives from YVR, and the challenges faced by the sector. In other words, what every tourism educator should know about aviation!
The Tanker Airlift Control Center (TACC) Flight Plans Branch is responsible for developing and maintaining fuel efficient flight routes for US military aircraft. They continually review and improve routes to account for changes in airspace and regulations. Their routes through the Arctic and involvement in working groups have saved over $13 million dollars since 2010 through reduced fuel use and flying time. They provide critical routing expertise and ensure military flights comply with worldwide airspace requirements.
- The airline industry is experiencing unprecedented profitability due to consolidation and cost reductions, but lower fuel prices are changing the competitive landscape. Major US carriers like American, Delta, and United are facing challenges from growing international competition and weaker international profits. New opportunities are emerging in Cuba and other Latin American markets with recent policy changes. Carriers are strategizing around fleet decisions, international route expansion, and M&A activity to adapt to these shifts.
U.S. Airline Industry Summer Travel Forecast and First Quarter 2013 Financial...Airlines for America (A4A)
The document provides an overview and analysis of the U.S. airline industry in the first quarter of 2013. It summarizes that:
1) The Airlines for America (A4A) projects a slight increase in summer air travel, which would narrow the gap to the 2007 peak levels. International travel is expected to reach a new record high.
2) Major U.S. airlines reported a narrower net loss in the seasonally weak first quarter of 2013 compared to the same period in 2012, helped by continued restructuring efforts.
3) Financial results are leading analysts to forecast that U.S. airlines will finally generate an economic profit in 2013, enabling investment in fleets, facilities
Ontario International Airport experienced steady growth in passengers from 1980 to 2011, but has since seen a sharp decline, losing over 32% of its passengers from 2000-2011. It now serves far fewer destinations than in its peak years and has continued to lose air service in 2011 and 2012. In contrast, other regional airports like John Wayne and Long Beach have increased their passenger numbers in the same time period. The FAA forecasts that Ontario's passenger numbers will remain below 2007 levels through 2030, while LAX is expected to continue growing, attracting more low-cost carriers and passengers instead of Ontario. As a result of the loss in air service, Ontario's total economic impact and jobs have significantly decreased since 2007.
Similar to 2011 Investor Day - Planning and Revenue Management (10)
UnityNet World Environment Day Abraham Project 2024 Press ReleaseLHelferty
June 12, 2024 UnityNet International (#UNI) World Environment Day Abraham Project 2024 Press Release from Markham / Mississauga, Ontario in the, Greater Tkaronto Bioregion, Canada in the North American Great Lakes Watersheds of North America (Turtle Island).
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The world of blockchain and decentralized technologies is about to witness a groundbreaking event. ZKsync, the pioneering Ethereum Layer 2 network, has announced the highly anticipated airdrop of its native token, ZK. This move marks a significant milestone in the protocol's journey, empowering the community to take the reins and shape the future of this revolutionary ecosystem.
Methanex is the world's largest producer and supplier of methanol. We create value through our leadership in the global production, marketing and delivery of methanol to customers. View our latest Investor Presentation for more details.
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Cleades Robinson, a respected leader in Philadelphia's police force, is known for his diplomatic and tactful approach, fostering a strong community rapport.
3. Agenda
• Network and Pricing Overview
• Geographies
– North America
– Neighbor Island
– International
3
4. Network Planning And Pricing Reflect Three Main Elements
Of Hawaiian Airlines’ Strategy
• Our role as a destination carrier
• Diversification of origin markets
• Modest volume / price premium for superior product and service
4
5. Sydney
HNL
San Francisco
Los Angeles
Las Vegas
HNL
Kaua‘i
Maui
Neighbor Island Routes
Pago Pago
Papeete
Portland
Phoenix
San Diego
Sacramento
Oakland
San Jose
Maui
2008 Route Network Seattle
Manila
Kona Hilo
In Recent Years, We Have Expanded Our Network
Significantly, Especially In International Markets
5
6. In Recent Years, We Have Expanded Our Network
Significantly, Especially In International Markets
6
Sydney
HNL
San Francisco
Los Angeles
Las Vegas
Pago Pago
Papeete
Portland
Phoenix
San Diego
Sacramento
Oakland
San Jose
Maui
2010 Route Network
Tokyo (Haneda)
Seattle
Manila
Route Development
2010 Tokyo (Haneda)
2010 Oakland - Maui
2010 Las Vegas - Maui
HNL
Kaua‘i
Maui
Neighbor Island Routes
Kona Hilo
7. 2011 Route Network
Sydney
HNL
San Francisco
Los Angeles
Las Vegas
Pago Pago
Papeete
Portland
Phoenix
San Diego
Sacramento
Oakland
San Jose
Maui
Tokyo (Haneda)
Seattle
Seoul
Osaka (Kansai)
Manila
Route Development
2010 Tokyo (Haneda)
2010 Oakland - Maui
2010 Las Vegas - Maui
2011 Osaka (Kansai)
2011 Seoul (Incheon)
HNL
Kaua‘i
Maui
Neighbor Island Routes
Kona Hilo
In Recent Years, We Have Expanded Our Network
Significantly, Especially In International Markets
7
8. In Recent Years, We Have Expanded Our Network
Significantly, Especially In International Markets
8
Manila
Seoul
Tokyo (Haneda)
Sydney
Osaka (Kansai)
Fukuoka
HNL
San Francisco
Los Angeles
Las Vegas
Pago Pago
Papeete
Seattle
Portland
Phoenix
San Diego
Sacramento
Oakland
San Jose
Maui
2012 Route Network
Route Development
2010 Tokyo (Haneda)
2010 Oakland - Maui
2010 Las Vegas - Maui
2011 Osaka (Kansai)
2011 Seoul (Incheon)
2012 Sydney (daily)
2012 Fukuoka
2012 San Jose - Maui
2012 New York
New York
HNL
Kaua‘i
Maui
Neighbor Island Routes
Kona Hilo
10. 0
1000
2000
3000
4000
5000
6000
7000
2006 2007 2008 2009 2010 2011
UA/CO
HA
DL/NW
AA
AS
US/HP
TZ
AQ
Other
Change In Avg. Seats / Day
Over 5 Years, 2006-2011
Carrier
%
change
Abs.
change
HA 21% 722
Other
Airlines
-19% -3,276
Domestic Capacity To Hawai‘i (Excluding Neighbor Island)
Average Daily Seats
Aside From Hawaiian, Only Alaska Airlines And US Airways
Have Increased Mainland-Hawai‘i Capacity
Source: Official Airline Guide (Data pulled from source on October 10, 2011)
10
11. International Capacity To Hawai‘i
Average Daily Seats
0
200
400
600
800
1000
1200
2006 2007 2008 2009 2010 2011
JO/JL
DL/NW
HA
KE
WS
Other
NH
AC
QF/JQ
UA/CO
1500
2500
International: Hawaiian Has Been The Leader In Service
And Capacity Growth
Source: Official Airline Guide (Data pulled from source on October 10, 2011)
JO/JL not on same scale
Change In Avg. Seats/ Day
Over 5 Years, 2006-2011
Carrier
%
change
Abs.
change
HA 464% 746
Other
Airlines
-8% -515
11
13. Agenda
• Network and Pricing Overview
• Geographies
– North America
– Neighbor Island
– International
13
14. North America Network And Pricing
• Widebody product advantage
• Schedule timed for local passengers
• Share and fare premium over competitors
• Connections to Neighbor Islands
• Connect largest, multi-frequency markets to International markets
14
15. 0%
20%
40%
60%
80%
100%
0% 20% 40% 60% 80% 100%
In Most Mainland-Hawai‘i Markets Where We Compete, We
Get Share And Price Premiums
Market Market O&D
HA O&D
share
HA Fare
Premium1
HNL-LAX 934,810 31% $5
HNL-SFO 464,035 22% $17
HNL-LAS 374,502 81% $15
HNL-SEA 371,770 40% $13
OGG-SEA 262,273 51% $36
HNL-PDX 191,093 57% $22
OGG-PDX 187,377 63% $25
HNL-SAN 168,966 64% $24
HNL-PHX 145,646 63% ($42)
OAK-OGG 117,102 50% $29
OGG-SAN 115,662 25% $44
HNL-SMF 104,438 82% $31
HNL-SJC 98,161 90% ($40)
HNL-OAK 96,181 96% ($23)
LAS-OGG 58,419 64% $22
Total 3,690,435 49% $14
Traffic, Seats & Fares At Hawaiian’s Mainland Gateways, YE2Q2011
O&DShare
Nonstop Seat Share
HNL-SFO
LAX-HNL
OGG-SAN
HNL-SEA
HNL-PHX
OGG-SEA
OAK-OGG
HNL-PDX
OGG-PDX
HNL-SAN
LAS-OGG
HNL-SMF
HNL-LAS
HNL-SJC
HNL-OAKGreater passenger
share than seat share
Less passenger
share than seat share
1 Over other airline average fare
Source: USDOT O&D survey, OAG schedules
15
16. 12.7 12.7
12.1 11.9
12.5
10.8 10.6 10.9
10.4
13.5
13.1
12.7
11.7 11.4
10.6 10.3 10
9.2
United Airlines Delta Air Lines American
Airlines
US Airways Alaska Airlines JetBlue
Airways
Hawaiian
Airlines
Southwest
Airlines
Allegiant Air *
RASM CASM
Domestic RASM & CASM (Excluding Transport-Related), YE1Q2011
Stage Length-Adjusted To 1,000 Miles, Ranked By CASM
(No Hawai‘i
Service)
Our Costs Are Competitive With All Other Carriers Serving
Hawai‘i, And With LCC’s That Could Enter The Market
(No Hawai‘i
Service)
(No Hawai‘i
Service)
* No “Transport-Related” exclusion for Allegiant
Source: USDOT Form 41
16
17. New York City
• Largest U.S. metro area
• 7th largest Mainland-Hawai‘i
market
• Current service limited to
just one daily EWR nonstop
• Excellent connections to the
rest of the eastern U.S.
East Coast
• 2nd largest origin region
• Over 1,900 Hawai‘i PDEW
(including NYC)
• Current service limited to
just two daily nonstops
(EWR and ATL)
We Recently Announced New Daily
Nonstop Service Between
Honolulu And New York JFK
17
18. Agenda
• Network and Pricing Overview
• Geographies
– North America
– Neighbor Island
– International
18
20. 0%
20%
40%
60%
80%
100%
HNL-OGG HNL-LIH HNL-KOA HNL-ITO KOA-OGG* LIH-OGG ITO-OGG HNL-MKK HNL-LNY
Hawaiian
Other
Island Air
Go! Mokulele
Hawaiian Airlines Has Established A Solid Presence In Its
Neighbor Island Routes
0%
20%
40%
60%
80%
100%
HNL-OGG HNL-LIH HNL-KOA HNL-ITO KOA-OGG LIH-OGG ITO-OGG HNL-MKK HNL-LNY
Hawaiian
Other
Island Air
Go! Mokulele
Onboard
PAX Share
(YE1Q2010)
Average Daily
Freq. Share
(Oct. 2011)
1,952k 1,450k 1,322k 1,138k 219k
29 24 23 16 18
* For KOA-OGG route, ‘Other’ refers to Pacific Wings
Source: USDOT T100, OAG schedules
20
21. Our Neighbor Island Network Is A Source Of Utility
For The Entire Industry
Virtually every airline serving Hawai‘i has significant interline traffic with us
Seven codeshare partnerships include several of our long haul competitors
21
23. • For most cities beyond
narrowbody range, nonstop
Neighbor Islands flights are
difficult to support
economically (for us and
competitors)
• Our network provides an
attractive connection option
for these itineraries
OGG LIH KOA ITO
YVR YVR YVR
DFW
ORD
LAX LAX LAX LAX
SFO SFO SFO SFO
DEN DEN DEN
OAK OAK OAK
PHX PHX PHX
SEA SEA SEA
SJC SJC SJC
PDX
SAN
SMF
SNA
-- -- -- --
-- --
JAL tried,
cancelled
--
Hawai‘i Visitors1 Non-Stop Service2
YYC
Our Neighbor Island Network Is An Anchor For Longer-haul
Routes - Our Own And Other Carriers’
1 YEAug2011 2 All carriers
Source: Hawai‘i DEBDT, OAG schedules (Oct. 2011)
US
West
US
East
Japan
Canad
a
Other
0
1,000
2,000
3,000
4,000
5,000
6,000
7,000
8,000
inThousands
23
24. Agenda
• Network and Pricing Overview
• Geographies
– North America
– Neighbor Island
– International
24
25. While Some International Markets Have Matured, Other New And
Existing International Markets Provide Attractive Growth Opportunities
• Widebody service
• Rising affluence will drive new sources of visitors
• Gradual loosening of visa requirements facilitates visits
• Weaker US Dollar makes Hawai‘i more affordable
• Our efficient twin-engine aircraft are well suited for these markets
25
26. * CAGR = Compound Annual Growth Rate
Source: Hawai‘i Tourism Authority
-3% 12% -1% 11% 2% 22% 8%
CAGR*
‘06-’11(p)
1,174
466
374
178
116 95 74
0
100
200
300
400
500
600
700
800
900
1,000
1,100
1,200
1,300
Japan Canada Other Australia Europe Korea China
inThousands
International Visitors To Hawai‘i, YE3Q2011
Hawai‘i Is An Established Destination For International
Visitors, But Many Source Markets Are Far From Mature
1,174
26
27. 0
1,000
2,000
3,000
4,000
5,000
6,000
7,000
0
500
1,000
1,500
2,000
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011
(p)
Visitors Seats
Japan-Hawai‘i Visitors And Scheduled Seats
Annual Visitors
(in Thousands)
Average
Daily Seats
The Long-term Decline In Japan-Hawai‘i Demand Has
Stabilized And Airline Capacity Is Tighter
Source: Hawai‘i DEDBT, OAG Schedules (Oct. 2011)
27
28. 0
1,000
2,000
3,000
4,000
5,000
6,000
7,000
8,000
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011
Other
Nagoya
Osaka
Tokyo
Japan-Hawai‘i Average Daily Seats
Carriers Have Consolidated Hawai‘i Capacity At Tokyo,
Leaving Regional Japan Cities Underserved
Note: Chart does not reflect launch of new HNL-FUK services (DL beginning Dec 28, 2011, HA in Apr. 2012)
Source: OAG schedules (data pulled October 2011)
28
29. 0.90
0.95
1.00
1.05
1.10
1.15
1.20
JPY CNY AUD CAD KRW
1.00
Currency Appreciation In Visitor Source Markets Provides
Additional Support For Market Entry
Dollars Per Foreign Currency Units
Indexed To 10/25/09 = 1.00
A weaker dollar boosts the value of foreign point-of-sale revenue and
makes Hawai‘i a more attractive foreign tourist destination
29
30. Manila
Sydney
Hnl
San Francisco
Los Angeles
Las Vegas
Pago Pago
Papeete
Portland
Phoenix
San Diego
Sacramento
Oakland
San Jose
Maui
Seoul (Incheon)
Tokyo (Haneda)
Osaka (Kansai)
Fukuoka
Pago Pago
Papeete
Seattle
Oakland
San Jose
Taipei
Hong Kong
Singapore
Melbourne
Brisbane
Shanghai
Sapporo
Beijing
2010 Metro Population
1m 3m 5m 7m 20m
Major Markets With Limited Or No Nonstop Hawai‘i Service
Toronto
Montreal
Washington, DC
Boston
Minneapolis
Detroit
Philadelphia
St Louis
Top US Markets With No
Non-stop Service
Auckland
New York
HNL
Large Markets With Limited Or No Nonstop Hawai‘i Service
Provide Ample Growth Opportunities
Source: The Economist, US BEA, Board Of Trade Metropolitan Montreal, Govt Of Japan, Govt Of Australia, Calgary Economic Development
* Destinations Are Within Operating Range Of Existing HA Aircraft
30
31. Visa Restrictions Play An Important Role
In Several High-Potential Hawai‘i
International Markets
• Australia, Japan, Korea, New Zealand and
Singapore are Hawai‘i’s only Asia Pacific source
markets in the U.S. Visa Waiver Program (VWP)
• Korean visitors to Hawai‘i increased 60% after
Korea’s VWP entry, and are projected to grow by
more than 26% in 2011
• With low visa refusal rates, Hong Kong and Taiwan
are on the State Department’s VWP “roadmap”
• China is unlikely gain VWP status in the near term,
but declining visa rejection rates point to its eventual
inclusion
– In the meantime, the U.S. is expanding visa
processing capacity at its China consulates
U.S. VISA REFUSAL RATE
Country 2006 2010
China 24.5% 13.3%
Hong Kong 4.2% 5.4%
Taiwan 3.1% 2.2%
Indonesia 35.1% 16.4%
Malaysia 11.4% 5.9%
Philippines 37.7% 37.9%
Thailand 12.9% 13.5%
31
32. In International Markets, We Are
Selective In Our Partnerships
• Mutual codeshare on both carriers’ HNL-ICN flights
• Codeshare on HA neighbor island flights
• Codeshare on KE ICN-Asia flights
• NH code on HA neighbor island flights
• HA code on NH HNL-Japan and intra-Japan flights
• DJ code on HA HNL-SYD and neighbor island flights
• Interline on DJ’s Australia/NZ flights beyond SYD
• Recently signed SPA* provides HA entry into several
China markets from other Asia points
* SPA = Special Prorate Agreement
32